Machine Learning Engineer

📋 Description

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort
• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and
• Influence architecture choices, training methodologies, and deployment pathways for
• Collaborate cross-functionally across various teams to ensure integration and iteration velocity.

🎯 Requirements

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp.
• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

🎁 Benefits

• Based in our office in Japan.
• Hybrid working policy that combines time together in offices and workshops and time spent working